#vulnerability

An issue was discovered in Clerk-js 5.88.0 allowing attackers to bypass the OAuth authentication flow by manipulating the request at the OTP verification stage.

In `authkit-nextjs` version 2.11.0 and below, authenticated responses do not defensively apply anti-caching headers. In environments where CDN caching is enabled, this can result in session tokens being included in cached responses and subsequently served to multiple users. Next.js applications deployed on Vercel are unaffected **unless** they manually enable CDN caching by setting cache headers on authenticated paths. ### Impact This vulnerability may lead to session caching, potentially allowing unauthorized users to obtain another user’s session token. The severity depends on deployment configuration, caching policy, and whether authenticated routes are inadvertently cached. ### Patches Patched in `authkit-nextjs` 2.11.1, which applies anti-caching headers to all responses behind authentication. ### Notes Authentication middleware should set anti-caching headers for authenticated routes as a defense in depth measure, but cannot guarantee these headers will not be overwritten els...

### Summary A memory corruption vulnerability that leading to a crash (denial-of-service) and potentially remote code execution (RCE) exists in vLLM versions 0.10.2 and later, in the Completions API endpoint. When processing user-supplied prompt embeddings, the endpoint loads serialized tensors using torch.load() without sufficient validation. Due to a change introduced in PyTorch 2.8.0, sparse tensor integrity checks are disabled by default. As a result, maliciously crafted tensors can bypass internal bounds checks and trigger an out-of-bounds memory write during the call to to_dense(). This memory corruption can crash vLLM and potentially lead to code execution on the server hosting vLLM. ### Details A vulnerability that can lead to RCE from the completions API endpoint exists in vllm, where due to missing checks when loading user-provided tensors, an out-of-bounds write can be triggered. This happens because the default behavior of `torch.load(tensor, weights_only=True)` since py...

Martin muses on how agentic AI is bringing efficiency improvements to the business of cyber crime.

Snipe-IT v8.3.4 (build 20218) contains a reflected cross-site scripting (XSS) vulnerability in the CSV Import workflow. When an invalid CSV file is uploaded, the application returns a progress_message value that is rendered as raw HTML in the admin interface. An attacker can intercept and modify the POST /livewire/update request to inject arbitrary HTML or JavaScript into the progress_message. Because the server accepts the modified input without sanitization and reflects it back to the user, arbitrary JavaScript executes in the browser of any authenticated admin who views the import page.

When zx is invoked with --prefer-local=<path>, the CLI creates a symlink named ./node_modules pointing to <path>/node_modules. Due to a logic error in src/cli.ts (linkNodeModules / cleanup), the function returns the target path instead of the alias (symlink path). The later cleanup routine removes what it received, which deletes the target directory itself. Result: zx can delete an external <path>/node_modules outside the current working directory.

A bug in the filesystem traversal fallback path causes fs/diriterate/diriterate.go:Next() to overindex an empty slice when ReadDir returns nil for an empty directory, resulting in a panic (index out of range) and an application crash (denial of service) in OSV-SCALIBR.

## Context A template injection vulnerability exists in LangChain's prompt template system that allows attackers to access Python object internals through template syntax. This vulnerability affects applications that accept **untrusted template strings** (not just template variables) in `ChatPromptTemplate` and related prompt template classes. Templates allow attribute access (`.`) and indexing (`[]`) but not method invocation (`()`). The combination of attribute access and indexing may enable exploitation depending on which objects are passed to templates. When template variables are simple strings (the common case), the impact is limited. However, when using `MessagesPlaceholder` with chat message objects, attackers can traverse through object attributes and dictionary lookups (e.g., `__globals__`) to reach sensitive data such as environment variables. The vulnerability specifically requires that applications accept **template strings** (the structure) from untrusted sources, not...

Oligo Security has warned of ongoing attacks exploiting a two-year-old security flaw in the Ray open-source artificial intelligence (AI) framework to turn infected clusters with NVIDIA GPUs into a self-replicating cryptocurrency mining botnet. The activity, codenamed ShadowRay 2.0, is an evolution of a prior wave that was observed between September 2023 and March 2024. The attack, at its core,

Session tokens and passwords in couch-auth 0.21.2 are stored in JavaScript objects and remain in memory without explicit clearing in src/user.ts lines 700-707. This creates a window of opportunity for sensitive data extraction through memory dumps, debugging tools, or other memory access techniques, potentially leading to session hijacking.